The training data used is the LibriSpeech dataset [1]}, a corpus with 960 hours of audiobook readings with a 16 kHz sampling rate and 16-bit resolution. The training data consists of a subset of 460 hours of clean audio in a studio-like condition, while the other 500 hours do not have the same quality standard. To augment the training set, two additional noise datasets are used, namely MUSAN [2]}, and UrbanSound8K [3]}, as well as the OpenSLR28 dataset [4]} of room impulse responses (RIR).
